Computer Vision-Based Algorithms for Recognition of Construction and Demolition Waste Materials

IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY
Tomáš Zbíral, Václav Nežerka
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引用次数: 0

Abstract

The construction industry generates a significant amount of waste, posing challenges for efficient waste management and resource recovery. This paper presents a preliminary study on the use of lightweight computer vision (CV) algorithms for the automatic recognition of construction and demolition waste (CDW) materials. Utilizing image datasets acquired by drones, the study aims to develop strategies for distinguishing between individual CDW materials based on the mean intensity gradient, brightness, and relative representation of color channels. Results indicate that the proposed method can effectively recognize crucial CDW materials, paving the way for potential applications in industry and geodesy. Further research is needed to test additional materials and metrics to refine the method for practical implementation.
基于计算机视觉的建筑和拆除废弃物识别算法
建造业产生大量废物,对废物的有效管理和资源回收提出挑战。本文对轻量化计算机视觉(CV)算法在建筑垃圾材料自动识别中的应用进行了初步研究。利用无人机获取的图像数据集,该研究旨在开发基于平均强度梯度、亮度和颜色通道的相对表示来区分单个CDW材料的策略。结果表明,该方法可以有效地识别关键的CDW材料,为工业和大地测量的潜在应用铺平了道路。需要进一步的研究来测试额外的材料和度量,以改进实际实施的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Science and Technology-Research Journal
Advances in Science and Technology-Research Journal ENGINEERING, MULTIDISCIPLINARY-
CiteScore
1.60
自引率
27.30%
发文量
152
审稿时长
8 weeks
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